About Flatiron School

As a leader in the tech industry, Flatiron School believes that education is the best investment you can make in your future. We’re committed to helping change lives and the world for the better. Our courses provide an immersive, outcomes-driven curriculum for students looking to launch a career in Software Engineering, Cybersecurity, Data Science, Artificial Intelligence and Game Design. In addition to student programs, we also offer targeted education solutions for organizations.

Our Mission: Enabling the pursuit of a better life through education

Our Values:

• Make No Little Plans - Build for scale, create for the future, execute short-term goals in view of long-term strategy
• Radiate Positivity - Be kind, have fun, find what to love
• Strive for Excellence - Drive results, hold yourself and each other accountable to our shared goals
• Be a Lifelong Learner - Embrace a growth mindset, be curious, get comfortable with being uncomfortable
• Work Together - Collaborate, embrace transparency, empower others to succeed
• Nurture Difference - Seek to understand, notice who or what is missing, actively seek out different opinions, create space for other voices to be heard

About the role

Flatiron School is offering a part-time, paid apprenticeship for aspiring data scientists eager to gain real-world experience while expanding their skill set across disciplines. This unique program combines hands-on project work with a part-time, fully funded enrollment in Flatiron’s Software Engineering bootcamp.

As an apprentice, you’ll work on production-grade data products alongside experienced engineers and product leaders while developing full-stack engineering skills through a structured academic program. The goal is to cultivate a new generation of AI Product Engineers who can think and build across both data and software domains.

Whether you’ve completed a bootcamp, a college degree, or are self-taught, this apprenticeship is designed to help you grow into a multidisciplinary technical contributor through applied learning and real-world impact.

What you'll do

• Work with real datasets to develop and test hypotheses
• Build data pipelines, dashboards, and ML models
• Collaborate on data-driven product features and experiments
• Participate in sprint planning, model reviews, and product discussions
• Attend and complete the Flatiron School Software Engineering part-time bootcamp as part of the apprenticeship (valued at $14,900 in tuition costs)
• Receive regular mentorship and technical guidance from senior developers and data scientists

What you'll learn

• How data science and software engineering intersect in modern AI products
• End-to-end workflows for data modeling, application development, and deployment
• Best practices in clean code, data cleaning, feature engineering, and testing
• How to contribute to agile teams and ship functional, production-quality tools
• How to communicate insights and technical solutions across disciplines

What we're looking for

Requirements:

• Must be able to work in person in NYC at least one day a week
• Must be eligible to work in the U.S.
• Must be available ~20 hours/week for apprenticeship work
• Must enroll in and complete the Flatiron School Software Engineering bootcamp as a required component of the program (tuition is waived for apprentices)

Preferred Skills:

• Strong foundation in Python and core data science libraries (e.g., Pandas, NumPy, scikit-learn, Jupyter)
• Familiarity with SQL and basic data querying
• Experience with data visualization (e.g., Matplotlib, Seaborn, Plotly)
• Some exposure to machine learning concepts and tools
• Clear communication skills and a collaborative mindset
• Curiosity, initiative, and eagerness to grow as a multidisciplinary builder

Expected Compensation

• $23 hour (20 hours/week) plus $14,900 tuition waiver for bootcamp

Please include link to your portfolio of work (ie. website, Github, etc) and a cover letter explaining why you are interested in this apprenticeship and what your long-term goals are in your application.